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Advances in Artificial Life and Evolutionary Computation

Overview of attention for book
Cover of 'Advances in Artificial Life and Evolutionary Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Building Energy Management Through Fault Detection Analysis Using Pattern Recognition Techniques Applied on Residual Neural Networks
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    Chapter 2 Qualitative Particle Swarm Optimization (Q-PSO) for Energy-Efficient Building Designs
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    Chapter 3 Introducing Interactive Evolutionary Computation in Data Clustering
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    Chapter 4 Living Emerging Worlds for Games
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    Chapter 5 Studying the Evolutionary Basis of Emotions Through Adaptive Neuroagents: Preliminary Settings and Results
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    Chapter 6 Approaches to Molecular Communication Between Synthetic Compartments Based on Encapsulated Chemical Oscillators
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    Chapter 7 Multi-objective Parameter Tuning for PSO-based Point Cloud Localization
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    Chapter 8 A Multithreaded Implementation of the Fish School Search Algorithm
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    Chapter 9 Evolutionary Applications to Cellular Automata Models for Volcano Risk Mitigation
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    Chapter 10 On RAF Sets and Autocatalytic Cycles in Random Reaction Networks
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    Chapter 11 Learning Multiple Conflicting Tasks with Artificial Evolution
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    Chapter 12 On Some Properties of Information Theoretical Measures for the Study of Complex Systems
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    Chapter 13 Investigating the Role of Network Topology and Dynamical Regimes on the Dynamics of a Cell Differentiation Model
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    Chapter 14 Molecular Communication Technology: General Considerations on the Use of Synthetic Cells and Some Hints from In Silico Modelling
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    Chapter 15 Examples of the Usage of Infinities and Infinitesimals in Numerical Computations
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    Chapter 16 The Complex Systems Approach to Protocells
Attention for Chapter 12: On Some Properties of Information Theoretical Measures for the Study of Complex Systems
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1 X user

Citations

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3 Dimensions

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6 Mendeley
Summary X Dimensions citations
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Chapter title
On Some Properties of Information Theoretical Measures for the Study of Complex Systems
Chapter number 12
Book title
Advances in Artificial Life and Evolutionary Computation
Published in
Communications in Computer and Information Science, May 2014
DOI 10.1007/978-3-319-12745-3_12
Book ISBNs
978-3-31-912744-6, 978-3-31-912745-3
Authors

Alessandro Filisetti, Marco Villani, Andrea Roli, Marco Fiorucci, Irene Poli, Roberto Serra, Filisetti, Alessandro, Villani, Marco, Roli, Andrea, Fiorucci, Marco, Poli, Irene, Serra, Roberto

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Professor > Associate Professor 1 17%
Professor 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 2 33%
Physics and Astronomy 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2014.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Communications in Computer and Information Science
#1
of 1 outputs
Outputs of similar age
#179,553
of 243,124 outputs
Outputs of similar age from Communications in Computer and Information Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 243,124 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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